| ObjectiveEndometriosis(EM)is one of the most common diseases in gynecology.The electronic medical record contains a large amount of clinical information.This study intends to process the inpatient electronic medical records of Peking Union Medical College Hospital(PUMCH)through information technology and establish a single-center database of endometriosis.MethodsThe data of inpatients who received surgical treatment and were diagnosed or had pathologically confirmed endometriosis at PUMCH from April 2015 to August 2019 were retrieved and the corresponding electronic medical records were obtained.The researcher(clinician)determined the data items to be extracted by pinpointing the localization and extraction logic,Ruiyi(Beijing)Data Technology Co.,Ltd.(information engineer)converted clinical medical logic into an information-based programming language,conducted electronic medical record data mining,and realized patient information extraction.ResultsA total of 5770 women with endometriosis were included,mostly aged from 21 to 50 years(accounting for 94.25%).2.67%had postmenopausal endometriosis.61.56%reported pain,57.90%reported pelvic masses,and 21.56%reported infertility.1.82%had genital tract malformations,34.07%had uterine fibroids,20.47%had adenomyosis,13.21%had endometrial lesions(11.11%with endometrial polyps,1.40%with endometrial cancer,1.37%with uterus Intimal hyperplasia).81.99%were diagnosed with pathology,endometriosis was found in the ovaries,sacral uterine ligament,abdominal wall,rectal vaginal septum and uterine rectum fossa,fallopian tube,uterus(including cesarean scar),ureters,rectum,bladder peritoneal reflex,broad ligaments,perineum,cervix,bladder,vagina,colon,omentum,round ligament,appendix,groins,intrinsic ligament,small intestine,ileum,and cecum(ranked from highest to lowest incidence).ConclusionThis study used data technology to extract clinical information from electronic medical records,and successfully established a single-center inpatient disease database,which can be used for in-depth summary and further exploration.ObjectiveEndometriosis,an overall benign disease,can undergo malignant transformation.About 80%of the cases are found in the ovary,which is termed endometriosis associated ovarian carcinoma or EAOC.By utilizing the PUMCH database of inpatients between April 2015 and August 2019,the study retrospectively analyzed characteristics of those over 45 years old with pathologically confirmed ovarian endometriosis or ovarian carcinoma with pelvic endometriosis to shed light on potential risk factors of EAOC.Methods64 patients with EAOC and 438 patients with ovarian endometriosis were included.IBM SPSS Statistics 22.0 was used for statistical description and binary logistic regression analysis.ROC curve and Youden index were used to determine the best cutoff points for the continuous variables that were statistically significant(p<0.05).ResultsAmong the 64 patients with EAOC,43.75%had ovarian carcinoma and ovarian endometriosis in the ipsilateral ovary;78.13%had ovarian clear cell carcinoma or ovarian endometrioid carcinoma;76.56%had early-stage ovarian cancer(stage I or II).Univariate analysis documented statistically significant differences in their ages,menopausal states,pre-surgery serum levels of CA125 and CA199,tumor sizes and occurrence of dysmenorrhoea.Multivariate Logistic regression showed that menopausal states,pre-surgery levels of CA125 and tumor sizes were independent risk factors for EAOC.The best cutoff value was 8cm for tumor sizes.ConclusionFor patients over 45 years old with ovarian endometriosis,the presence of an ovarian tumor larger than 8cm,an elevated pre-surgery serum CA125 level and the menopausal state would signal an increased risk of malignant transformation. |
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